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TAWANTECH

Senior Data Scientist

TAWANTECH Riyadh, Riyadh Region, Saudi Arabia

Software Development · 201-500 employees

11 h ago
data-scientist Senior (5-10 yrs) Full-time Visa sponsorship Saudi Arabia
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About the role

The Senior Data Scientist will transform complex business data into actionable insights by developing advanced statistical and machine learning models. They are responsible for deploying these models into production environments and collaborating with cross-functional teams to support strategic decision-making.

What they look for

Statistical Modeling Machine Learning Predictive Analytics Data Cleaning Feature Engineering Exploratory Data Analysis Forecasting Regression Clustering Optimization Data Visualization Model Deployment Python SQL Data Science

Requirements

The role requires expertise in data preprocessing, feature engineering, and the selection of appropriate algorithms for predictive and optimization tasks. Candidates must be capable of ensuring model scalability, reproducibility, and effective communication of analytical findings to stakeholders.

Benefits

Family Medical Insurance Airline Tickets Iqama Sponsorship

Full description

Responsible for transforming complex business and operational data into actionable insights and advanced analytical solutions. The role develops statistical models, machine learning models, predictive analytics, and data-driven solutions to support business decision-making and strategic initiatives.

  • Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  • Develop and deploy statistical, predictive, and machine learning models.
  • Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis.
  • Select appropriate algorithms and optimize model performance.
  • Evaluate models using appropriate statistical and machine learning metrics.
  • Translate business requirements into data science and analytical solutions.
  • Build forecasting, classification, regression, clustering, and optimization models.
  • Collaborate with Data Engineers, AI Engineers, Business Analysts, and business stakeholders.
  • Develop dashboards, reports, and visualizations to communicate analytical findings.
  • Deploy and monitor models in production environments.
  • Ensure data quality, reproducibility, scalability, and appropriate model documentation.
  • Support advanced analytics, AI initiatives, and continuous improvement of existing models.

🏥 Family Medical Insurance covering the employee and eligible family members.

✈️ Airline Tickets for the employee, spouse, and up to two children.

🪪 Iqama Sponsorship & Processing provided by the company in accordance with applicable regulations.

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